Markov Bases of Conditional Independence Models for Permutations.
Villo CsiszárPublished in: Kybernetika (2009)
Keyphrases
- conditional independence
- causal models
- causal independence
- gaussian model
- probability distribution
- markov property
- bayesian networks
- structure and parameter learning
- axiomatic characterization
- random variables
- graphical models
- directed acyclic graph
- chain graphs
- bayes nets
- learning bayesian networks
- structure learning
- possibility theory
- conditional independencies
- probability theory
- probabilistic model
- bayesian network structure
- neural network
- statistical independence
- markov model
- markov random field
- social networks